Sparse Resultant-Based Minimal Solvers in Computer Vision and Their Connection with the Action Matrix

Approved

Classifications

MinEdu publication type
A1 Journal article (peer-reviewed)
Definition
Article
Target group
Scientific
Peer reviewed
Peer-reviewed
Article type
Journal article
Host publication type
Journal

Authors of the publication

Number of authors
3
Authors
Bhayani, Snehal; Heikkilä, Janne; Kukelova, Zuzana

Publication channel information

Title of journal/series
Journal of mathematical imaging and vision
ISSN (print)
0924-9907
ISSN (electronic)
1573-7683
ISSN (linking)
0924-9907
Publisher
Springer
Publication forum ID
60960
Publication forum level
2
Internationality
Yes

Detailed publication information

Publication year
2024
Bibliographical publication year
2024
Reporting year
2024
Journal/series volume number
66
Journal/series issue number
3
Page numbers
335-360
DOI
10.1007/s10851-024-01182-1
Language of publication
English

Co-publication information

International co-publication
Yes
Co-publication with a company
No

Availability

Link to self-archived version
https://urn.fi/URN:NBN:fi:oulu-202406104302

Classification and additional information

MinEdu field of science classification
113 Computer and information sciences
Keywords
Action matrix; Geometric computer vision; Gröbner basis; Minimal solvers; Sparse resultants

Funding information

Funding information in the publication
Zuzana Kukelova was supported by the OP VVV funded project CZ.02.1.01/0.0/0.0/16_019/0000765 ‘Research Center for Informatics’ and the Czech Science Foundation (GAČR) JUNIOR STAR Grant No. 22-23183M.

Source database ID

Scopus ID
2-s2.0-85188428706